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Modelling quantitative structure-activity relationships between animal behaviour and environmental signal molecules

机译:模拟动物行为与环境信号分子之间的定量构效关系

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Quantitative structure-activity relationships (QSARs) between the physicochemical properties of environmental signal molecules and animal behaviour have been determined, Past work has shown that oyster and barnacle larval settlement and mud crab abdominal pumping (far larval dispersal) are stimulated by small peptide cues, Tn all the peptides examined that were active at ecologically relevant concentrations, arginine or lysine was found at the carboxy terminus, but the amino acids found at preceding positions were highly variable, We used the multivariate partial least squares algorithm to relate composite properties for the hydrophilicity, size and charge of each amino acid and the sequence position to oyster, barnacle and crab behaviour patterns, From the information in these QSAR models, the apparent variability in amino acid sequences eliciting behavioural responses was explained in each case, and more potent peptide analogues are hypothesized on the basis of untested amino acid sequences, Remarkably, these peptide signals are all structurally related to the carboxy-terminal sequence of mammalian C5a anaphylatoxin, a potent white blood cell chemoattractant. Even more striking is the fact that these different animal species should rely on apparently similar environmental signal molecules when residing within a common habitat (southeastern US estuaries), Through the physicochemical properties of amino acids, the current QSAR models clearly differentiate between the optimal sequences for eliciting oyster, barnacle and mud crab behaviour, Thus, QSARs provide a novel and powerful method not only for relating the physicochemical properties of molecules to animal behaviour but also for differentiating responses to chemicals by individuals of different species. [References: 62]
机译:已经确定了环境信号分子的物理化学性质与动物行为之间的定量构效关系(QSAR),过去的研究表明,牡蛎和藤壶幼虫的沉降和泥蟹腹部抽水(远幼虫的散布)是由小肽线索刺激的,在所有检测到的具有生态相关浓度的肽段上,在羧基末端发现了精氨酸或赖氨酸,但在先前位置发现的氨基酸变化很大,我们使用多元偏最小二乘算法将复合特性关联为亲水性,每种氨基酸的大小和电荷以及牡蛎,藤壶和螃蟹行为模式的序列位置,根据这些QSAR模型中的信息,在每种情况下都可以解释引起行为反应的氨基酸序列的明显变异性,以及更有效的肽类似物根据未经测试的氨基酸se进行假设值得注意的是,这些肽信号在结构上均与哺乳动物C5a过敏毒素(一种有效的白细胞趋化剂)的羧基末端序列相关。更令人吃惊的事实是,这些不同的动物物种位于共同的栖息地(美国东南沿海)时,应该依赖看似相似的环境信号分子。通过氨基酸的理化特性,当前的QSAR模型清楚地区分了因此,QSARs提供了一种新颖而强大的方法,不仅可以将分子的物理化学性质与动物行为联系起来,而且可以区分不同物种的个体对化学物质的反应。 [参考:62]

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